anguyen8/deepface-emd
Code for CVPR 2022 https://arxiv.org/abs/2112.04016 DeepFace-EMD Re-ranking Using Patch-wise Earth Movers Distance Improves Out-Of-Distribution Face Identification
This project helps improve the accuracy of face identification systems, especially when faces are partially obscured (like with masks or sunglasses) or cropped in unusual ways. It takes existing face images and a query image, then intelligently re-ranks potential matches to provide more reliable results. It's designed for computer vision researchers, forensic analysts, or security professionals who need to identify individuals from challenging images.
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Use this if you need to boost the accuracy of face identification from 'out-of-distribution' images (e.g., partially masked, wearing sunglasses, or oddly cropped faces) without retraining your entire face recognition model.
Not ideal if you are looking for a standalone, production-ready face identification system rather than a method to enhance an existing one's robustness.
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Python
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Mar 29, 2023
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